API cost decision in 10 seconds

🔥GPT-4o-mini vs Ministral 3 8B 2512

Pick Ministral 3 8B 2512 when budget and context both matter.

Page updated: 2026-05-26T12:03:47Z Data confirmed: 2026-05-26T14:08:03Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Ministral 3 8B 2512 when budget and context both matter.

On the standard 1M input plus 500K output workload, Ministral 3 8B 2512 is estimated at $0.22 vs $0.45 for GPT-4o-mini, saving $0.22 (50% lower).

Cost-first pickMinistral 3 8B 2512

Context-first pickMinistral 3 8B 2512

Sample savings$0.2250%

10x traffic gap$2.25

Ministral 3 8B 2512 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Ministral 3 8B 2512 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GPT-4o-mini	Ministral 3 8B 2512
Input-heavy / RAG	5M input + 500K output	Ministral 3 8B 2512	$1.05	$0.82
Balanced workload	1M input + 1M output	Ministral 3 8B 2512	$0.75	$0.3
Output-heavy chatbot	1M input + 5M output	Ministral 3 8B 2512	$3.15	$0.9

Cheaper input Tie $0.15 vs $0.15 / 1M

Both models report the same input price at $0.15 per 1M tokens.

Cheaper output Ministral 3 8B 2512 $0.6 vs $0.15 / 1M

Ministral 3 8B 2512 is $0.45 cheaper per 1M output tokens (75% lower; 4x difference).

Larger context Ministral 3 8B 2512 128K vs 262.14K

Ministral 3 8B 2512 has 134.14K more context (2.05x larger).

Sample workload Ministral 3 8B 2512 $0.45 vs $0.22

Ministral 3 8B 2512 is $0.22 cheaper on the standard workload (50% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-4o-mini Calculating… Estimated API cost

Ministral 3 8B 2512 Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

both models tie on input price; Ministral 3 8B 2512 has the lower output price; Ministral 3 8B 2512 offers the larger context window. For the 1M input plus 500K output sample, Ministral 3 8B 2512 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for GPT-4o-mini and $0.22 for Ministral 3 8B 2512.

Best Fit

Choose GPT-4o-mini when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Ministral 3 8B 2512 when you care most about lower output-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Ministral 3 8B 2512 is estimated at $0.22 vs $0.45 for GPT-4o-mini, saving $0.22 (50% lower).
Ministral 3 8B 2512 is $0.22 cheaper on the standard workload (50% lower).
Both models report the same input price at $0.15 per 1M tokens.
Ministral 3 8B 2512 is $0.45 cheaper per 1M output tokens (75% lower; 4x difference).
Ministral 3 8B 2512 has 134.14K more context (2.05x larger).

Head-to-Head Specs

Feature	🔥GPT-4o-mini (OpenAI)	Ministral 3 8B 2512 (Mistral)
Input Price prompt tokens per 1M	$0.15	$0.15
Completion Price per 1M tokens	$0.6	$0.15
Sample Workload Cost 1M input + 500K output	$0.45	$0.22
Context Window	128K	262.14K
Release Date	2024-07-18	2025-12-02
Popularity	#16

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Ministral 3 8B 2512	On the standard 1M input plus 500K output workload, Ministral 3 8B 2512 is estimated at $0.22 vs $0.45 for GPT-4o-mini, saving $0.22 (50% lower).
High-volume input processing	Tie	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Ministral 3 8B 2512	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Ministral 3 8B 2512	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-4o-mini when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-4o-mini when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-4o-mini when lower sample workload cost matters most: $0.13.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.

Popular competitors

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Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

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OpenAI catalog

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Mistral catalog

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GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

Ministral 3 8B 2512

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.